Computer Vision–Based Human Comfort Assessment of Stadiums
Publication: Journal of Performance of Constructed Facilities
Volume 34, Issue 2
Abstract
In this article, a new measurement method for human comfort assessment levels for stadiums is proposed and demonstrated. The method is based on a specific computer vision and image processing algorithm called optical flow. The motion of the structure can be tracked and well-known human comfort index measures RMS and Vibration Dose Value (VDV) can be computed accordingly. The implementation was carried out using simple off-the-shelf cameras and the results were compared with conventional accelerometers. The analyses from tracking structural elements return similar results as accelerometers. The proposed methods and algorithms along with the computer vision technologies can be employed for practical human comfort assessment of structures.
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Acknowledgments
The financial support for this research was provided by Qatar National Research Fund (QNRF) (a member of the Qatar Foundation) via the National Priorities Research Program (NPRP), Project Number NPRP 6-526-2-218, and National Science Foundation (NSF) Division of Civil, Mechanical and Manufacturing Innovation (Grant No. 1463493). The statements made herein are solely the responsibility of the authors. The authors would like to acknowledge Dr. Mustafa Gul and Dr. Onur Avci for their valuable feedback; Dr. Manoj Chopra and Mr. David Hansen for the support and field study permissions before and during the experiments; Mr. Bora Erbilen for his consultancy in construction of the grandstand; and members of the Civil Infrastructure Technologies for Resilience and Safety (CITRS) research group at the University of Central Florida along with all the undergraduate and graduate students who took part in the creation of this work. The hardware support from Mr. Lou Zagst and Mr. Jenner Sequeira of PCB Piezotronics is greatly appreciated.
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Published In
Journal of Performance of Constructed Facilities
Volume 34 • Issue 2 • April 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Feb 14, 2018
Accepted: Apr 2, 2019
Published online: Jan 14, 2020
Published in print: Apr 1, 2020
Discussion open until: Jun 14, 2020
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